Multimodal Fine-Grained Grocery Product Recognition using Image and OCR Text
Tobias Pettersson,
Maria Riveiro,
Tuwe Löfström
Abstract:Automatic recognition of grocery products can be used to improve customer flow at checkouts and reduce labor costs and store losses. Product recognition is, however, a challenging task for machine learning-based solutions due to the large number of products and their variations in appearance. In this work, we tackle the challenge of fine-grained product recognition by first extracting a large dataset from a grocery store containing products that are only differentiable by subtle details. Then, we propose a mul… Show more
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